Yaron Lipman

17

Papers

47

Total Citations

Papers (17)

Mosaic-SDF for 3D Generative Models

Bespoke Non-Stationary Solvers for Fast Sampling of Diffusion and Flow Models

D-Flow: Differentiating through Flows for Controlled Generation

SAL: Sign Agnostic Learning of Shapes From Raw Data

Frame Averaging for Equivariant Shape Space Learning

Wide Baseline Stereo Matching With Convex Bounded Distortion Constraints

Surface Networks via General Covers

(Probably) Concave Graph Matching

Controlling Neural Level Sets

Provably Powerful Graph Networks

Multiview Neural Surface Reconstruction by Disentangling Geometry and Appearance

Set2Graph: Learning Graphs From Sets

Volume Rendering of Neural Implicit Surfaces

Moser Flow: Divergence-based Generative Modeling on Manifolds

VisCo Grids: Surface Reconstruction with Viscosity and Coarea Grids

Neural Conservation Laws: A Divergence-Free Perspective

On the Universality of Invariant Networks